Type this exactly: cat /opt/ai-lab/governance/guardrails.json
cat /opt/ai-lab/governance/guardrails.json
Safety, privacy, and governance
Separate safety and quality
Separate safety and quality through a bounded evidence-first AI operations workflow in the training lab.
Safety, privacy, and governancecat /opt/ai-lab/governance/guardrails.jsonaiops guardrails audit separate-safety-and-qualitygrep guardrails /opt/ai-lab/governance/guardrails.json
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Safety, privacy, and governance · 5 min
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learner@aiops:/home/learner $
AI operations lab: type a command, press Enter
Instructions
5 min
Click any instruction for the command details, the why, and the common mistake to avoid.
Type this exactly: aiops guardrails audit separate-safety-and-quality
aiops guardrails audit separate-safety-and-quality
Type this exactly: grep guardrails /opt/ai-lab/governance/guardrails.json
grep guardrails /opt/ai-lab/governance/guardrails.json
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Lesson support
What to notice while you play.
Use commands and observable output to explain separate safety and quality without changing a real model or service.
Start with cat /opt/ai-lab/governance/guardrails.json. Then run aiops guardrails audit separate-safety-and-quality before collecting the final evidence.
Separate safety and quality is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.
- Skipping the baseline fixture before reasoning about separate safety and quality.
- Treating one simulated output as proof of root cause instead of one bounded piece of evidence.
Reference
Commands in this lesson.
aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
aiops prompts
Review versioned prompt metadata and deterministic prompt diffs.
aiops evals
Run and inspect bounded evaluation fixtures without model execution.
aiops rag
Inspect retrieval documents, chunks, index status, and reviewed results.
aiops traces
Read deterministic request traces, summaries, and latency evidence.
aiops guardrails
Review simulated guardrail policies, checks, and audit summaries.
aiops cost
Estimate cost and capacity from fixed training metrics.
aiops incidents
Review incident timelines, evidence bundles, and operator notes.